Pandas: Create a time-series from a given list of dates as strings

Last update on September 09 2025 12:42:36 (UTC/GMT +8 hours)

6. Time-Series from Date Strings

Write a Pandas program to create a time-series from a given list of dates as strings.

Sample Solution:

Python Code :

import pandas as pd
import numpy as np
import datetime
from datetime import datetime, date 
dates = ['2014-08-01','2014-08-02','2014-08-03','2014-08-04']
time_series = pd.Series(np.random.randn(4), dates)
print(time_series)

Sample Output:

2014-08-01    2.025858
2014-08-02    0.307073
2014-08-03   -0.903682
2014-08-04    0.056662
dtype: float64

For more Practice: Solve these Related Problems:

Write a Pandas program to convert a list of date strings with inconsistent formats into a sorted DatetimeIndex.
Write a Pandas program to create a time-series from an unsorted list of date strings and then resample it to a daily frequency.
Write a Pandas program to transform a list of date strings into a time-series and forward-fill any missing dates.
Write a Pandas program to convert date strings in a custom format into a time-series and then output the dates in ISO format.

Go to:

PREV : Custom Time-Series with Index Labels.
NEXT : Time-Series Filtering by Date Range.

Python Code Editor:

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